| Type of Material: | Thesis |
| Title: | Some approaches to developing security models for cloud based systems |
| Researcher: | Nanda, Manas Kumar |
| Guide: | Patra, Manas Ranjan |
| Department: | Department of Computer Science |
| Publisher: | Berhampur University, Berhampur |
| Place: | Berhampur |
| Year: | 2022 |
| Language: | English |
| Subject: | Computer Science | Computer Science Software Engineering | Engineering and Technology | Computer Science and Applications | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Computer Science, Berhampur University, Berhampur, Berhampur; 2022 |
| Fulltext: | Shodhganga |
| 003 | IN-AhILN | |
| 005 | 2026-10-16 16:59:46 | |
| 008 | __ | 261016t2022||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_464354 |
| 040 | __ | |dIN-AhILN|aBRMP_760007 |
| 041 | __ | |aeng |
| 100 | __ | |eResearcher|aNanda, Manas Kumar |
| 110 | __ | |aDepartment of Computer Science|0U-0350|dBerhampur|bBerhampur University, Berhampur|ein |
| 245 | __ | |aSome approaches to developing security models for cloud based systems |
| 260 | __ | |aBerhampur|c2022|bBerhampur University, Berhampur |
| 300 | __ | |a194p.|dDVD |
| 502 | __ | |cDepartment of Computer Science, Berhampur University, Berhampur, Berhampur|d2022|bPhD |
| 518 | __ | |oDate of Award|d2022 |
| 518 | __ | |d2014|oDate of Registration |
| 518 | __ | |oDate of Completion|d2022 |
| 520 | __ | |aThe work embodied in this thesis is a study on the security vulnerabilities of cloud-based systems and to propose approaches to deal with such intrusive behaviour of malicious users. The ultimate aim is to develop models for detection and prevention of unauthorized access and misuse of cloud resources, thereby enhance the trustworthiness of cloud-based systems. First, a cloud environment has been simulated and several measurements have been made to study the system performance while monitoring packet transmissions involving malicious and normal ports. The dataset containing system calls generated by the University of New Mexico (UNM) system has been used for our experiments and some system calls have been successfully identified as malicious. Second, network packet features have been studied to determine those features responsible for network attacks. For the purpose, ranks of different features in the NSL KDDCUP 99 intrusion dataset have been determined using entropy based feature ranking classifiers. Few |
| 650 | __ | |aComputer Science and Applications|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Software Engineering |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aPatra, Manas Ranjan|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/453182|yShodhganga |
| 905 | __ | |afromsg |
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